facebookresearch / stochastic_gradient_push
Stochastic Gradient Push for Distributed Deep Learning
Summary
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| Main Code: 2,859 LOC (17 files) = PY (100%) Secondary code: Test: 0 LOC (0); Generated: 0 LOC (0); Build & Deploy: 56 LOC (7); Other: 87 LOC (3); |
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| Duplication: 38% | |||
| File Size: 0% long (>1000 LOC), 19% short (<= 200 LOC) | |||
| Unit Size: 16% long (>100 LOC), 32% short (<= 10 LOC) | |||
| Conditional Complexity: 6% complex (McCabe index > 50), 37% simple (McCabe index <= 5) | |||
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Logical Component Decomposition: primary (5 components) | ||
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2 years, 8 months old
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0% of code updated more than 50 times Also see temporal dependencies for files frequently changed in same commits. |
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| Goals: Keep the system simple and easy to change (4) | |||
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Features of interest:
TODOs
2 files |
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Latest commit date: 2020-07-28
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